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  1. 1

    Optimization of Application Deployment Architecture in Container Orchestration by Mochamad Rizal Fachrudin, Ahmad Rofiqul Muslikh

    Published 2025-03-01
    “…Container orchestration has become a widely adopted standard for application deployment among medium to large-scale organizations. …”
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    HERCULE: High-Efficiency Resource Coordination Using Kubernetes and Machine Learning in Edge Computing for Improved QoS and QoE by Garrik Brel Jagho Mdemaya, Miguel Landry Foko Sindjoung, Milliam Maxime Zekeng Ndadji, Mthulisi Velempini

    Published 2025-01-01
    “…In this work, we propose a smart Kubernetes scheduling solution that embeds a machine learning model into the Kube-scheduler for more effective application deployment. By analyzing application keywords and edge server metrics, such as geographic location, workload, and keyword-based request frequency, the proposed solution dynamically selects the optimal edge server for application deployment. …”
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  6. 6

    Research on Intelligent Security Access Platform Based on SDN by Peng LI, Yueping YANG, Yang YANG

    Published 2023-09-01
    “…Firstly, the difficulty of upgrading and expanding the traditional security service equipment were analyzed, and a design of an intelligent security access platform was proposed.Then, the research and development ideas and technical routes of the intelligent security access platform were explained, and hardware and software were designed.Finally, the platform achievement test and application deployment construction were carried out to verify the value of the platform.…”
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  7. 7

    Development and Deployment of Standards for CCUS by Yang Yanmei, Zhou Luli, Zhang Jiahang

    Published 2025-01-01
    “…Considering the technology readiness level of CCUS and industry application, deployment suggestions of CCUS standards is proposed.…”
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  8. 8

    Systematic construction of operator’s intelligent customer service by Bin DONG

    Published 2020-07-01
    “…Starting from the intelligent development of operators’ important voice customer service and WeChat customer service,the problems and challenges in traditional operator customer service were analyzed firstly.The key technologies in the intelligent customer service objectively were evaluated,and how to combine artificial intelligence with operator customer service was systematically put forward.According to the actual situation of an operator's existing network,the key technology solutions of intelligent voice customer service and WeChat robot were proposed,and then how to promote practice in operators’ actual environment was introduced,including programs and effects about network reconstruction,AI capabilities open and intelligent application deployment.Finally,the application future prospects of intelligent customer service were outlooked.…”
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  9. 9

    A standards-based application for improving platelet transfusion workflow by William Gordon, Maria Aguad, Layne Ainsworth, Samuel Aronson, Jane Baronas, Edward Comeau, Rory De La Paz, Justin B.L. Halls, Vincent T. Ho, Michael Oates, Adam Landman, Wen Lu, Shawn N. Murphy, Fei Wang, Indira Guleria, Sean R. Stowell, Melissa Y. Yeung, Edgar L. Milford, Richard M. Kaufman, William J. Lane

    Published 2025-01-01
    “…Our model, which included 376 patients in the final analysis, did not demonstrate a significantly decreased odds that a patient would have a complicated thrombocytopenia course after application deployment as compared to before application deployment. …”
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    Article
  10. 10

    The road to commercial success for neuromorphic technologies by Dylan Richard Muir, Sadique Sheik

    Published 2025-04-01
    “…Analog and mixed-signal Neuromorphic circuit designs are being replaced by digital equivalents in newer devices, simplifying application deployment while maintaining computational benefits. …”
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  11. 11

    Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

    Published 2023-06-01
    “…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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    Article
  12. 12

    Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

    Published 2023-06-01
    “…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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    Article
  13. 13

    The Internet of Things, Fog, and Cloud Continuum: Integration Challenges and Opportunities for Smart Cities by Rodger Lea, Toni Adame, Alexandre Berne, Selma Azaiez

    Published 2025-06-01
    “…This paper explores the broad area of Smart City services and how the evolving Cloud-Edge-IoT continuum can support application deployment in Smart Cities. We initially introduce a range of Smart City services and highlight their computational needs. …”
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  14. 14

    5G nomadic deployment proposal of base station integrated with cloud and service by Furong XU, Hang CUI, Tianyi YU, Long ZHANG, Jinxia CHENG, Feng XING, Wuneng GUAN, Jing LIU, Wei DENG, Haiyu DING

    Published 2022-05-01
    “…Emergency scenarios such as floods, mobile scenarios such as open-pit mines, temporary coverage scenarios such as touring competitions have agile 5G network deployment and flexible local application deployment requirements.Existing solutions, such as emergency communication vehicles, drone communications, have three major problems, including inflexible backhaul, unsatisfied service, and incomplete scenarios.In response to the above-mentioned scenario requirements and problems, an innovative nomadic deployment proposal of base station integrated with cloud and service was proposed.It contained smart-simplified wireless coverage unit, smart-simplified backhaul unit, smart-simplified computing unit, and smart-simplified supporting unit.Smart-simplified wireless coverage unit and smart-simplified backhaul unit builded a ubiquitous network.Where there was demand, there was 5G.Smart-simplified computing unit builded a ubiquitous cloud.Where there was base station, there was cloud.Smart-simplified supporting unit realized the flexible movement of 5G network.The 5G nomadic base station integrated cloud and service to achieve flexible mobile 5G network and cloud, which could meet the needs of emergency rescue scenarios, mobile scenarios, and temporary industrial coverage scenarios.…”
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  15. 15

    Proactive Data Categorization for Privacy in DevPrivOps by Catarina Silva, João P. Barraca, Paulo Salvador

    Published 2025-02-01
    “…Our analysis demonstrates its applicability in network-management infrastructure, service and application deployment, and user-centered design interfaces. …”
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    Article
  16. 16

    Hybrid multi objective marine predators algorithm based clustering for lightweight resource scheduling and application placement in fog by R. Baskar, E. Mohanraj

    Published 2025-05-01
    “…Efficient allocation of IoT applications to the fog, as well as fog device scheduling, enabling the realistic execution of IoT application deployment in the fog environment. The scheduling difficulties are multi-objective in nature, since they must handle the issues of avoiding resource waste, network latency, and maximising Quality of Service (QoS) on fog nodes. …”
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    Integrating Reconfigurable Hardware-Based Grid for High Performance Computing by Julio Dondo Gazzano, Francisco Sanchez Molina, Fernando Rincon, Juan Carlos López

    Published 2015-01-01
    “…Besides, a set of services designed to facilitate the application deployment is described. An example application and a comparison with other hardware and software implementations are shown. …”
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    Internet of Things Based Application Placement Technique in Fog Environment by N Malathy, M Ruba, S Vinothini

    Published 2025-05-01
    “…Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challenges in application deployment and resource optimization. This paper addresses these challenges by introducing a comprehensive application placement framework designed to optimize execution time and energy consumption in a heterogeneous fog environment. …”
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  19. 19

    Microbiome One Health model for a healthy ecosystem by Antonietta Tomasulo, Barbara Simionati, Sonia Facchin

    Published 2024-01-01
    “…The attention on microbiome research and its translation to application deployment is escalating along with diffused hype. …”
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  20. 20

    DESIGNING THE ARCHITECTURE AND SOFTWARE COMPONENTS OF THE DOCKERISED BLOCKCHAIN MEDIATOR by Pavlo Zherzherunov, Olexandr Shmatko

    Published 2025-07-01
    “…Docker’s containerization capabilities are leveraged to achieve these goals due to improved horizontal scaling and providing a unified environment for the application deployment. This architecture leverages tools provided by the Docker to design scalable and robust system that is easily maintainable. …”
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